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mr_godi [17]
3 years ago
14

The mean of a normally distributed dataset is 12, and the standard deviation is 2.

Mathematics
2 answers:
madam [21]3 years ago
7 0
NormalCdf(-2,2,0,1)=.9545
95.45%
Greeley [361]3 years ago
3 0

Answer:

95.44% of the data lies between 8 and 16.

Step-by-step explanation:

Since, z score or standard score formula is,

z=\frac{x-\mu}{\sigma}

Where,

\mu = mean of the data,

\sigma = standard deviation,

Let X represents a data point,

So, we have to find out,

P( 8 < X < 16),

Since,

P(8 < X < 16)=P(\frac{8-\mu}{\sigma}< Z< \frac{16-\mu}{\sigma})

=P(\frac{8-12}{2}

=P(-2

=P(Z

=0.9772-0.0228  ( By the z-score table )

=0.9544

=95.44\%

Hence, 95.44% of the data lies between 8 and 16.

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A moose population is growing exponentially following the pattern in the table shown below. Assuming that the pattern continues,
EleoNora [17]

Answer:

  •   <u> 7,692 moose.</u>

Explanation:

The table that shows the pattern for this question is:

Time (year) Population

  0                   40

  1                     62

  2                    96

  3                   149

  4                   231

A growing exponentially pattern may be modeled by a function of the form P(x) = P₀(r)ˣ.

Where P₀ represents the initial population (year = 0), r represents the multiplicative growing rate, and P(x0 represents the population at the year x.

Thus you must find both P₀ and r.

<u>1) P₀ </u>

  Using the first term of the sequence (0, 40) you get:

   P(0) = 40 = P₀ (r)⁰ = P₀ (1) = P₀

Then, P₀ = 40

<u>  2) r</u>

Take two consecutive terms of the sequence:

  • P(0) = 40 r⁰ = 40
  • P(1) = 40 r¹ = 40r = 62
  • P(1) / P(0) = 40r / 40 = 62/40
  • r = 62/40 = 1.55

 

You can verify that, for any other two consecutive terms you get the same result: 96/62 ≈ 149/96 ≈ 231/149 ≈ 1.55

<u>3) Model</u>

 

Thus, your model is P(x) = 40(1.55)ˣ

<u> 4) Population of moose after 12 years</u>

  • P(12) = 40 (1.55)¹² ≈ 7,692.019 ≈ 7,692, which is round to the nearest whole number.
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.

x + 50/x =-23,  x^2 +23x - 50 = (x-2)(x+25)

so 2 and -25

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